To create an artificial intelligence similar to humans or other animals, it has to have some way to generate meaning. Emotional development might be a major factor in how symbol grounding happens in…

As a technologist, I am gung-ho about the widespread application of technology across any domain including healthcare. In Season 1 of the You AI Podcast, I spoke with 15 medical doctors and we explored together where AI may drive the most impact in healthcare. In this session, I share the lessons that I learnt from those conversations with doctors and the underlying absorbing stories that helped me be more nuanced about where and how AI should be applied in Healthcare.

Today we're joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we've learned about the coronavirus since it's emergence, and the role of tech in understanding and preventing the spread of the disease.

During the COVID–19 pandemic, I decided that I wanted to use the time at home to invest in myself. One of the things I was challenged by in a recent episode of Business Casual was when Mark Cuban discussed the role of Artificial Intelligence in the future and recommended some tools to learn more. He mentioned some Coursera courses, so I am currently working my way through some of their AI training, but he also mentioned an AI-focused podcast called the TWIML AI Podcast that I added to my podcast subscription list. TWIML (This Week in Machine Learning and AI) is a perfect way to hear from industry experts about how Machine Learning and AI will change our world. I plan to work through the back catalog soon, but the newest episodes have been informative.

How does LinkedIn allow its data scientists to access aggregate user data for exploratory analytics while maintaining its users' privacy?

Earlier today, Andrew Ng joined us onstage at TWIMLcon - as the Founder and CEO of Landing AI and founding lead of Google Brain, Andrew is no stranger to knowing what it takes for AI and machine learning to be successful. Hear about the work that Landing AI is doing to help organizations adopt modern AI, his experience in overcoming challenges for large companies, how enterprises can get the most value for their ML investment as well as addressing the'essential complexity' of software engineering.